@inproceedings{nannetti-di-cristofaro-2024-understanding,
title = "Understanding the Future Green Workforce through a Corpus of Curricula Vitae from Recent Graduates",
author = "Nannetti, Francesca and
Di Cristofaro, Matteo",
editor = "Dell'Orletta, Felice and
Lenci, Alessandro and
Montemagni, Simonetta and
Sprugnoli, Rachele",
booktitle = "Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)",
month = dec,
year = "2024",
address = "Pisa, Italy",
publisher = "CEUR Workshop Proceedings",
url = "https://aclanthology.org/2024.clicit-1.69/",
pages = "612--619",
ISBN = "979-12-210-7060-6",
abstract = "In view of the much-heralded ecological transition, to stay competitive and participate in the collective effort to face global warming and climate change, organisations need to select employees interested in and able to develop environmentally sustainable and innovative ideas. The existing literature however does not present consistent nor concordant results on the effective interest, involvement and expertise of Generation Z members {--} namely, the newest entrants into the workforce {--} in green issues. The aim of this study is to explore the profile of the upcoming workforce expected to present itself to companies, and to support them in managing the green transition. With CVs as one of the first interfaces between candidate and company in the recruitment process, this study is based on a purpose-built corpus consisting of 8,096 Curricula Vitae from recent graduates of the University of Modena and Reggio Emilia. Data is investigated through a Corpus-Assisted Discourse Studies (CADS) framework, proposing a novel interaction between structured metadata and textual information. The original contribution of this approach lies in the extraction of information from the narrative structure of CVs which, guiding the evaluation and exploration of metadata, ensures that the knowledge value of the data can be explored in a discursive manner and not reduced to lists of competences and qualifications."
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<abstract>In view of the much-heralded ecological transition, to stay competitive and participate in the collective effort to face global warming and climate change, organisations need to select employees interested in and able to develop environmentally sustainable and innovative ideas. The existing literature however does not present consistent nor concordant results on the effective interest, involvement and expertise of Generation Z members – namely, the newest entrants into the workforce – in green issues. The aim of this study is to explore the profile of the upcoming workforce expected to present itself to companies, and to support them in managing the green transition. With CVs as one of the first interfaces between candidate and company in the recruitment process, this study is based on a purpose-built corpus consisting of 8,096 Curricula Vitae from recent graduates of the University of Modena and Reggio Emilia. Data is investigated through a Corpus-Assisted Discourse Studies (CADS) framework, proposing a novel interaction between structured metadata and textual information. The original contribution of this approach lies in the extraction of information from the narrative structure of CVs which, guiding the evaluation and exploration of metadata, ensures that the knowledge value of the data can be explored in a discursive manner and not reduced to lists of competences and qualifications.</abstract>
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%0 Conference Proceedings
%T Understanding the Future Green Workforce through a Corpus of Curricula Vitae from Recent Graduates
%A Nannetti, Francesca
%A Di Cristofaro, Matteo
%Y Dell’Orletta, Felice
%Y Lenci, Alessandro
%Y Montemagni, Simonetta
%Y Sprugnoli, Rachele
%S Proceedings of the 10th Italian Conference on Computational Linguistics (CLiC-it 2024)
%D 2024
%8 December
%I CEUR Workshop Proceedings
%C Pisa, Italy
%@ 979-12-210-7060-6
%F nannetti-di-cristofaro-2024-understanding
%X In view of the much-heralded ecological transition, to stay competitive and participate in the collective effort to face global warming and climate change, organisations need to select employees interested in and able to develop environmentally sustainable and innovative ideas. The existing literature however does not present consistent nor concordant results on the effective interest, involvement and expertise of Generation Z members – namely, the newest entrants into the workforce – in green issues. The aim of this study is to explore the profile of the upcoming workforce expected to present itself to companies, and to support them in managing the green transition. With CVs as one of the first interfaces between candidate and company in the recruitment process, this study is based on a purpose-built corpus consisting of 8,096 Curricula Vitae from recent graduates of the University of Modena and Reggio Emilia. Data is investigated through a Corpus-Assisted Discourse Studies (CADS) framework, proposing a novel interaction between structured metadata and textual information. The original contribution of this approach lies in the extraction of information from the narrative structure of CVs which, guiding the evaluation and exploration of metadata, ensures that the knowledge value of the data can be explored in a discursive manner and not reduced to lists of competences and qualifications.
%U https://aclanthology.org/2024.clicit-1.69/
%P 612-619
Markdown (Informal)
[Understanding the Future Green Workforce through a Corpus of Curricula Vitae from Recent Graduates](https://aclanthology.org/2024.clicit-1.69/) (Nannetti & Di Cristofaro, CLiC-it 2024)
ACL